Factor-analysis methods for higher-performance neural prostheses.
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Representation of Muscle Synergies in the Primate BrainLimb-state information encoded by peripheral and central somatosensory neurons: implications for an afferent interfaceSingle-trial dynamics of motor cortex and their applications to brain-machine interfacesThe Ising decoder: reading out the activity of large neural ensembles.Modulation depth estimation and variable selection in state-space models for neural interfaces.Self-recalibrating classifiers for intracortical brain-computer interfacesDimensionality reduction for large-scale neural recordings.Extracting Low-Dimensional Latent Structure from Time Series in the Presence of DelaysUsing Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models.Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface.Human cortical prostheses: lost in translation?An implantable wireless neural interface for recording cortical circuit dynamics in moving primates.A dynamical systems view of motor preparation: implications for neural prosthetic system designInference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models.A 100-channel hermetically sealed implantable device for chronic wireless neurosensing applications.DataHigh: graphical user interface for visualizing and interacting with high-dimensional neural activity.Challenges and opportunities for next-generation intracortically based neural prosthesesSensors and decoding for intracortical brain computer interfaces.Retrospectively supervised click decoder calibration for self-calibrating point-and-click brain-computer interfaces.Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.Neural Manifolds for the Control of Movement.Neural constraints on learning.Population activity structure of excitatory and inhibitory neurons.Population decoding of motor cortical activity using a generalized linear model with hidden states.Brain-computer interface control along instructed paths.Learning by neural reassociation.Advanced User Interfaces for Upper Limb Functional Electrical Stimulation
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Factor-analysis methods for higher-performance neural prostheses.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 18 March 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Factor-analysis methods for higher-performance neural prostheses.
@en
Factor-analysis methods for higher-performance neural prostheses.
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type
label
Factor-analysis methods for higher-performance neural prostheses.
@en
Factor-analysis methods for higher-performance neural prostheses.
@nl
prefLabel
Factor-analysis methods for higher-performance neural prostheses.
@en
Factor-analysis methods for higher-performance neural prostheses.
@nl
P2093
P2860
P356
P1476
Factor-analysis methods for higher-performance neural prostheses.
@en
P2093
Afsheen Afshar
Byron M Yu
Gopal Santhanam
Krishna V Shenoy
Maneesh Sahani
Stephen I Ryu
Vikash Gilja
P2860
P304
P356
10.1152/JN.00097.2009
P407
P577
2009-03-18T00:00:00Z